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PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY 2024年第8期93卷 1897-1911页

作者： Sheng, Wentao lei, xi Chen, xinjie Kuang, Quan Nanchang Normal Univ Dept Biol Technol Nanchang 330032 Jiangxi Peoples R China

The analysis of chloroplast gene characteristics in Alpinia japonica (Thunb.) Miq. is of great significance fi cance for developing relevant genetic resources. The high-throughput sequencing and bioinformatic research were performed to analyze the chloroplast genome characteristics of A. japonica. . The total chloroplast genome length of A. japonica was 161,906 bp, with a typical circular tetrameric structure. And 133 genes were annotated, comprising 87 protein-coding, 38 tRNA, and 8 rRNA genes. Furthermore, 22 genes contained two copies, and 18 genes owned introns. Repeat sequence analysis showed that it contains 321 simple sequence repeats (SSRs) and 37 long segment repeats. Compared with the chloroplast genomes of eight representative plants in the genus Alpinia, , the gene structure, type, and quantity were relatively conservative. Rps12 was the highest variation site in the entire chloroplast gene. A phylogenetic tree showed that the genus Alpinia was the most closely related to the genus Amomum. . Meanwhile, A. japonica is the most closely related to Alpinia chinensis belonging to the genus Alpinia. . Overall, the chloroplast genome of a new species was reported in the genus Alpinia, , and a basis was provided for the utilization of Alpinia plants as a medical resource.

关键词： The genus Alpinia Alpinia japonica (Thunb.) Miq. chloroplast genome phylogenetic tree SEQUENCE ALIGNMENT GENES DNA

Preparation and Analysis of Carbon Fiber-Silicon Carbide Thermally Conductive Asphalt Concrete

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Fluid Dynamics & Materials Processing 2024年第4期20卷 705-723页

作者： Zhiyong Yang Enjie Hu lei xi Zhi Chen Feng xiong Chuanhai Zhan School of Civil Engineering and Environment Hubei University of TechnologyWuhan430068China

An experimental investigation into the thermal conductivity of CF-SiC two-phase composite asphalt concrete is *** main objective of this study was to verify the possibility of using SiC powder instead of mineral powder as the thermal conductive filler to prepare a new type of asphalt concrete and improve the efficiency of electrothermal snow and ice melting systems *** thermal conductivity of asphalt concrete prepared with different thermally conductive fillers was tested by a transient plane source method,and the related performances were *** the temperature rise rate and surface temperature were studied through field heating ***,the actual ice melting efficiency of the thermally conductive asphalt concrete was evaluated using an effective electrothermal *** shown by the experimental results,the composite made of SiC powder and carbon fiber has a high thermal *** SiC replaces mineral powder,the thermal conductivity of the asphalt mixture increases first and then decreases with the increase of carbon fiber *** the present study,in particular,the thermal conductivity attained a peak when the carbon fiber content was 0.2%of the aggregate mass.

关键词： Carbon fiber silicon carbide thermally conductive asphalt concrete road performance electrothermal snow melting

Automatic Generation Control in a Distributed Power Grid Based on Multi-step Reinforcement Learning

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Protection and Control of Modern Power Systems 2024年第4期9卷 39-50页

作者： Wenmeng Zhao Tuo Zeng Zhihong Liu Lihui xie lei xi Hui Ma the Electric Power Research Institute Southern Power GridGuangzhou 510663China the Heyuan Power Supply Bureau Guang-dong Power Grid Co.Ltd.Heyuan 517000China the College of Electrical Engineering&New Energy China Three Gorges UniversityYichang 443002China the College of Electrical Engineering&New Energy and Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station China Three Gorges UniversityYichang 443002China IEEE

The increasing use of renewable energy in the power system results in strong stochastic disturbances and degrades the control performance of the distributed power *** this paper,a novel multi-agent collaborative reinforcement learning algorithm is proposed with automatic optimization,namely,Dyna-DQL,to quickly achieve an optimal coordination solution for the multi-area distributed power *** proposed Dyna framework is combined with double Q-learning to collect and store the environmental *** can iteratively update the agents through buffer replay and real-time *** the environmental data can be fully used to enhance the learning speed of the *** mitigates the negative impact of heavy stochastic disturbances caused by the integration of renewable energy on the control *** are conducted on two different models to validate the effectiveness of the proposed *** results demonstrate that the proposed Dyna-DQL algorithm exhibits superior stability and robustness compared to other reinforcement learning algorithms.

关键词： Automatic generation control Dyna framework distributed power grid multi-agent mod-el-based reinforcement learning

A promising approach for quantifying focal stroke modeling and assessing stroke progression:optical resolution photoacoustic microscopy photothrombosis

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Neural Regeneration Research 2025年第7期20卷 2029-2037页

作者： xiao Liang xingping Quan xiaorui Geng Yujing Huang Yonghua Zhao lei xi Zhen Yuan Ping Wang Bin Liu Faculty of Health Sciences University of MacaoMacao Special Administrative RegionChina Center for Cognitive and Brain Sciences University of MacaoMacao Special Administrative RegionChina Department of Biomedical Engineering Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoTaipaMacao Special Administrative RegionChina Department of Emergency Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong ProvinceChina

To investigate the mechanisms underlying the onset and progression of ischemic stroke,some methods have been proposed that can simultaneously monitor and create embolisms in the animal cerebral ***,these methods often require complex systems and the effect of age on cerebral embolism has not been adequately studied,although ischemic stroke is strongly *** this study,we propose an optical-resolution photoacoustic microscopy-based visualized photothrombosis methodology to create and monitor ischemic stroke in mice simultaneously using a 532 nm pulsed *** observed the molding process in mice of different ages and presented age-dependent vascular embolism ***,we integrated optical coherence tomography angiography to investigate age-associated trends in cerebrovascular variability following a *** imaging data and quantitative analyses underscore the differential cerebrovascular responses to stroke in mice of different ages,thereby highlighting the technique's potential for evaluating cerebrovascular health and unraveling age-related mechanisms involved in ischemic strokes.

关键词： age-dependent cerebral cortex ischemic stroke mouse model optical coherence tomography angiography photoacoustic microscopy photothrombosis vascular imaging

基于改进FasterNet的轻量化小麦生育期识别模型

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农业机械学报 2024年第5期55卷 226-234页

作者：时雷雷镜楷王健杨程凯刘志浩席磊熊蜀峰河南农业大学信息与管理科学学院郑州450046 河南粮食作物协同创新中心郑州450046

针对现阶段小麦生育期信息获取需依靠人工观测,效率低、主观性强等问题,本文构建包含冬小麦越冬期、返青期、拔节期和抽穗期4个生育期共计4599幅小麦图像数据集,并提出一种基于FasterNet的轻量化网络模型FSST(Fast shuffle swin transfo... 详细信息

针对现阶段小麦生育期信息获取需依靠人工观测,效率低、主观性强等问题,本文构建包含冬小麦越冬期、返青期、拔节期和抽穗期4个生育期共计4599幅小麦图像数据集,并提出一种基于FasterNet的轻量化网络模型FSST(Fast shuffle swin transformer),开展4个关键生育期的智能识别。在FasterNet部分卷积的基础上引入Channel Shuffle机制,以提升模型计算速度。引入Swin Transformer模块来实现特征融合和自注意力机制,用来提升小麦关键生育期识别准确率。调整整个模型结构,进一步降低网络复杂度,并在训练中引入Lion优化器,加快网络模型收敛速度。在自建的数据集上进行模型验证,结果表明,FSST模型参数量仅为1.22×10^(7),平均识别准确率、F1值和浮点运算量分别为97.22%、78.54%和3.9×10^(8),与FasterNet、GhostNet、ShuffleNetV2和MobileNetV34种模型相比,FSST模型识别精度更高,运算速度更快,并且识别时间分别减少84.04%、73.74%、72.22%和77.01%。提出的FSST模型能够较好地进行小麦关键生育期识别,并且具有识别快速精准和轻量化的特点,可以为大田作物生长实时监测提供信息技术支持。

关键词：小麦生育期识别 FasterNet 轻量化 Lion优化器

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基于改进YOLO v8s的小麦小穗赤霉病检测研究

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农业机械学报 2024年第7期55卷 280-289页

作者：时雷杨程凯雷镜楷刘志浩王健席磊熊蜀峰河南农业大学信息与管理科学学院郑州450046 河南粮食作物协同创新中心郑州450046

为实现大田复杂背景下小麦小穗赤霉病快速准确识别,构建了包含冬小麦开花期、灌浆期和成熟期3个生育期共计640幅的小麦赤霉病图像数据集,并提出一种基于改进YOLO v8s的小麦小穗赤霉病识别方法。首先,利用全维动态卷积ODConv替换主干网... 详细信息

为实现大田复杂背景下小麦小穗赤霉病快速准确识别,构建了包含冬小麦开花期、灌浆期和成熟期3个生育期共计640幅的小麦赤霉病图像数据集,并提出一种基于改进YOLO v8s的小麦小穗赤霉病识别方法。首先,利用全维动态卷积ODConv替换主干网络中的标准Conv,提高网络对目标区域特征的提取;然后,在Neck网络使用改进Efficient RepGFPN特征融合网络实现低层特征与高层语义信息的融合,使模型能够提取更丰富的特征信息;最后,采用EIoU损失函数替换CIoU损失函数,加快模型收敛速度,进一步提高模型准确率,实现对小麦小穗赤霉病的快速、准确识别。在自建的数据集上进行模型验证,结果表明,改进模型(OCE-YOLO v8s)对小麦小穗赤霉病的检测精度达到98.3%,相比原模型提高2个百分点;与Faster R-CNN、CenterNet、YOLO v5s、YOLO v6s、YOLO v7模型相比分别提高36、25.7、2.1、2.6、3.9个百分点。提出的OCE-YOLO v8s模型能有效实现小麦小穗赤霉病精确检测,可为大田环境下农作物病虫害实时监测提供参考。

关键词：小麦赤霉病目标检测 YOLO v8 全维动态卷积 Neck网络 EIoU

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Detector performance of the Gamma-ray Transient Monitor onboard DRO-A satellite

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Science China(Physics,Mechanics & Astronomy) 2024年第11期Mechanics & Astronomy) .卷 79-94页

作者： Pei-Yi Feng Zheng-Hua An Da-Li Zhang Chen-Wei Wang Chao Zheng Sheng Yang Shao-Lin xiong Jia-Cong Liu xin-Qiao Li Ke Gong xiao-Jing Liu Min Gao xiang-Yang Wen Ya-Qing Liu xiao-Yun Zhao Fan Zhang xi-lei Sun Hong Lu Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences

The Gamma-ray Transient Monitor(GTM) is an all-sky monitor onboard the Distant Retrograde Orbit-A(DRO-A) satellite with the scientific objective of detecting gamma-ray transients ranging from 20 ke V to 1 MeV. The GTM was equipped with five Gamma-ray Transient Probe(GTP) detector modules utilizing a NaI(Tl) scintillator coupled with a SiPM array. To reduce the SiPM noise, GTP uses a dedicated dual-channel coincident readout design. In this work, we first studied the impact of different coincidence times on the detection efficiency and ultimately selected a 0.5 μs time coincidence window for offline data processing. To test the performance of the GTPs and validate the Monte-Carlo-simulated energy response, we conducted comprehensive ground calibration tests using the Hard X-ray Calibration Facility(HXCF) and radioactive sources, including the energy response, detection efficiency, spatial response, bias-voltage response, and temperature dependence. We extensively present the ground calibration results and validate the design and mass model of the GTP detector, thus providing the foundation for in-flight observations and scientific data analysis.

关键词： NaI(Tl) detector energy response ground calibration gamma-ray detector DRO-A satellite

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选择性注意对无意识加工的调节作用及潜在机制

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生物化学与生物物理进展 2024年第9期51卷 2016-2027页

作者：吴禧芊张西磊蒋毅王亮中国科学院心理研究所北京100101 中国科学院大学心理学系北京100049

意识和无意识经常被看作是动态转换的一体两面,理解意识与无意识相互转换的认知神经机制是当今科学的重大挑战。注意在这个转换过程中发挥关键作用。但是,过往研究主要关注注意对意识的影响,而注意对无意识过程的影响长久以来被忽略了... 详细信息

意识和无意识经常被看作是动态转换的一体两面,理解意识与无意识相互转换的认知神经机制是当今科学的重大挑战。注意在这个转换过程中发挥关键作用。但是,过往研究主要关注注意对意识的影响,而注意对无意识过程的影响长久以来被忽略了。一个曾比较流行的观点认为无意识加工过程是自动化的,不受注意的调节。然而,该观点近来被逐渐抛弃。在视觉传递通路中,注意可以调节源眼信息、朝向信息的无意识加工过程;在语义系统中,注意能自上而下地增强目标关联性强的,并抑制目标关联性弱的无意识语义过程;在情绪系统中,除了目标关联性之外,由注意负荷操纵的注意供给水平也能调节意识下的情绪加工过程。这些研究有助于更充分理解注意与意识的关系。综合来看,注意既可能是产生意识的必要条件,也可能是(某些)无意识加工的必要条件。未来应深入研究注意调节无意识过程的认知和神经机制,尤其是这些机制在不同注意类型和不同感觉通道间的共性和个性。

关键词：注意无意识加工视觉加工语义加工情绪注意敏化模型

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建构数字经济中艺术市场治理“中国方案”

山东工商学院学报 2024年第1期38卷 22-34页

作者：西沐雷茜西安美术学院美术史论系西安710065 河北大学艺术学院河北保定071002

围绕建构数字经济中艺术市场治理“中国方案”这个主题,回顾了中国艺术市场治理的历史进程,展现其演化轨迹及主要阶段特征;强调了建构“中国式”艺术市场治理现代化的重要意义,并探讨其背后原因;最后,阐明了中国艺术市场治理进化的逻辑... 详细信息

围绕建构数字经济中艺术市场治理“中国方案”这个主题,回顾了中国艺术市场治理的历史进程,展现其演化轨迹及主要阶段特征;强调了建构“中国式”艺术市场治理现代化的重要意义,并探讨其背后原因;最后,阐明了中国艺术市场治理进化的逻辑,展开了数字化背景下艺术市场治理的系统,以及艺术市场治理的机制与体系研究,重点确立了艺术市场治理的目标、关键节点与战略路径,建立了艺术市场治理“中国方案”的基本架构。

关键词：艺术市场治理现代化数字经济中国方案

基于混合黑猩猩优化极限学习机的电力信息物理系统虚假数据注入攻击定位检测

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电力系统保护与控制 2024年第14期52卷 46-58页

作者：席磊董璐程琛田习龙李宗泽梯级水电站运行与控制湖北省重点实验室湖北宜昌443002 三峡大学电气与新能源学院湖北宜昌443002

针对已有检测方法无法对虚假数据注入攻击(false data injection attack,FDIA)进行精确定位的问题,提出了一种基于混合黑猩猩优化极限学习机(extreme learning machine,ELM)的电力信息物理系统FDIA的定位检测方法。首先,使用ELM作为分类... 详细信息

针对已有检测方法无法对虚假数据注入攻击(false data injection attack,FDIA)进行精确定位的问题,提出了一种基于混合黑猩猩优化极限学习机(extreme learning machine,ELM)的电力信息物理系统FDIA的定位检测方法。首先,使用ELM作为分类器,用于提取电力数据特征并检测系统各节点的异常状态。然后,采用一种具有全局搜索能力且局部收敛速度更快的混合黑猩猩优化策略,用于寻找ELM最优隐藏层神经元数量。建立基于混合黑猩猩优化ELM的检测方法,实现对FDIA的精准定位,有利于后续防御措施的实施。最后,在IEEE 14和IEEE 57节点系统中进行大量仿真对比实验。结果表明,所提方法具有更佳的准确率、查准率、查全率和F1值,对FDIA能够进行更为精准的定位检测。

关键词：电力信息物理系统虚假数据注入攻击极限学习机黑猩猩优化